@inproceedings{ruppik-2024-topological,
    title = "Topological Deep Learning for Term Extraction",
    author = "Ruppik, Benjamin Matthias",
    editor = "Inoue, Koji  and
      Fu, Yahui  and
      Axelsson, Agnes  and
      Ohashi, Atsumoto  and
      Madureira, Brielen  and
      Zenimoto, Yuki  and
      Mohapatra, Biswesh  and
      Stricker, Armand  and
      Khosla, Sopan",
    booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
    month = sep,
    year = "2024",
    address = "Kyoto, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.yrrsds-1.16/",
    doi = "10.18653/v1/2024.yrrsds-1.16",
    pages = "43--45",
    abstract = {Ben is a postdoctoral researcher in the Dialog Systems and Machine Learning research group led by Milica Ga{\v{s}}i{\'c} at the Heinrich-Heine-Universit{\"a}t D{\"u}sseldorf, which he joined in 2022. In collaboration with the Topology and Geometry group in the Mathematics Department, under the supervision of Marcus Zibrowius, Ben is developing applications of Topological Data Analysis in Natural Language Processing, focusing on dialogue systems. Before transitioning to machine learning research, Ben was a pure mathematician at the Max-Planck-Institute for Mathematics in Bonn, where he specialized in knotted surfaces in 4-dimensional manifolds. He graduated from the University of Bonn in 2022.}
}